45 results about "Nutrition Indexes" patented technology

The invention discloses a control method for a water machine and the water machine. The water machine comprises a release module which can release a plurality of kinds of nutrients. The method comprises: obtaining basic information, diet information, and drinking information of a user; according to the basic information of the user and a reference dietary nutrition index library, obtaining reference acceptable daily intake of calories, various nutrients, and water drinking; according to the diet information, the drinking information, and a food database, determining actual acceptable daily intake of calories, various nutrients, and water drinking; according to the reference acceptable daily intake and the actual acceptable daily intake, generating control information, wherein the control information comprises water make-up amount and nutrient information needed to complement; and according to the control information, controlling the release module to put the nutrients which need complementing into water. The control method for the water machine can provide personalized nutrient drinking water according to actual requirement of users, so as to reduce manual operation of users, improve flexibility of control of the water machine, and improve user use experience.

The invention discloses a probiotics-containing breast milk-like formula milk powder for infants. Raw milk is used as a base material; according to nutrient differences of breast milk and raw milk, whey protein is added to adjust the ratio of whey protein to casein in a product to be close to 6:4; soybean oil is added to adjust deficiency of linoleic acid in milk fat, wherein linoleic acid accounts for about 12.8 percent of the total fat of the breast milk but only 2.2 percent of the total fat of raw milk; arachidonic acid (AA), docosahexaenoic acid (DHA), sialic acid (SA) and 3'-sialyllactose(3'-SL) are added to promote brain development of infants and improve memory and intelligence; and bifidobacterium lactis HN019, bifidobacterium animal Bb-12 and lactobacillus paracasei N1115 are added to regulate intestinal healthy development of infants. The invention also provides a preparation method of the milk powder. The milk powder is close to the nutrition index in the Chinese breast milk and is suitable for growth and development of infants in China.

The invention relates to a comprehensive evaluation method for ecological toxicity risk of heavy metals in sediments of rivers and lakes, and mainly aims to evaluate pollution risks for river and lakesediment environments. The method comprises the following steps: determining the content of heavy metal pollutants in river and lake bottom mud, and obtaining nitrogen and phosphorus nutrition indexes of a corresponding sample; calculating the environmental pollution enrichment index and toxicology entropy of the sample and the toxicity characteristics of the heavy metals in the initial-valence bottom mud by using a formula according to the heavy metal content of the bottom mud; calculating an organic pollution load index by using the nitrogen and phosphorus nutrition data set, and constructing a structural equation model by combining the heavy metal toxicology entropy of the sample; and fitting the superposition index of organic pollution to the heavy metal toxicology, calculating the comprehensive risk index of the ecological toxicity of the heavy metal in the sample, and comparing the risk level standard to comprehensively evaluate the heavy metal toxicity risk. The method is basedon an ecological statistics method, overcomes the single evaluation limitation of heavy metals, fully considers the influence of organic pollution on the ecological toxicity of the heavy metals, andcan comprehensively evaluate the ecological toxicity risk of the river and lake sediment heavy metals.

The invention discloses a human body health nutrition management method and system based on liquid detection so as to solve the technical problems that an existing health management device and system can not realize the regulation of the diet behavior of a user and can not improve the health state of the user. The method comprises the following steps that: pre-storing the body information of the user, and generating a reference water intake, a reference energy intake and a reference nutrition intake according to the body information; collecting and recording beverage information and food information taken by the user, and detecting the urine parameter of the user at a certain time period; according to the beverage information and the food information, analyzing to obtain the practical water intake, the practical energy intake and the practical nutrition intake of the user; comparing the reference water intake with the practical water intake to obtain a moisture index, comparing the reference energy intake with the practical energy intake to obtain an energy index, and comparing the reference nutrient intake with the practical nutrition intake to obtain a drinking balance index and a nutrition index; and according to the urine parameter, obtaining a correction index.

The invention relates to a feeding method of laying chicken, which is characterized in that the nutrition index of an overhead price feed in the laying stage of the laying chicken is designed according to 320 kilocalorie of energy, 18g of crude protein, 460 to 470mg of methionine and 4g of calcium required by the feeding of each laying chicken every day; the feeding amount is different according to different seasons, i.e.110g every laying chicken every day in summer, 120g every laying chicken every day in spring and autumn and 130g every laying chicken every day in winter; and the contents ofthe crude protein, the methionine and the calcium in food required by every laying chicken every day are calculated according to different feeding amounts so that the formula of the laying chicken feed in different seasons is designed according to the nutrition indexes of raw materials of the feed. When the laying chicken is fed by adopting the method, the peak time of the laying rate of the laying chicken can be maintained for above 8 mouths and the ratio of the feed to eggs is about 2.0.

The invention provides a watershed wetland water environment state and public satisfaction degree evaluation method, which comprises the following steps: 1) selecting a proper evaluation factor and computing a corresponding weight; 2) computing a function relationship among a wetland water environment comprehensive influence index, a wet land nutrition index and a water environmental nutrition comprehensive influence index; 3) grading the wetland water environment states and public satisfaction degrees; and 4) implementing the method concretely: evaluating the wetland water environment states and public wetland water environment state satisfaction degrees of all watersheds such as lakes, urban rivers and reservoirs. Compared with the prior art, the method has the advantages that: a psychological simulation-reaction relationship theory is introduced; and the watershed wetland water environment states and public environment state satisfaction degrees can be evaluated objectively and quantitatively.

The invention discloses a rice nitrogen nutrition estimation method based on canopy image feature derivation. The method comprises the steps of acquiring a rice elongation stage canopy image in a unitarea of a field or in a plant with a certain number of holes above a rice canopy through imaging equipment; processing the canopy image by using a digital image processing method to obtain a rice canopy coverage (CC), using the rice canopy coverage as an image feature value, using feature derivation, expanding the image canopy coverage as an independent variable, and constructing a regression relational expression with the rice nitrogen nutrition index; and verifying the trained model by collecting more rice canopy coverage and rice nitrogen nutrition index samples. According to the method, the nitrogen nutrition of the rice is evaluated by utilizing the image feature values, the prediction precision and universality of the model can be effectively improved, and an effective means is provided for monitoring the growth vigor and nutrition of the rice.

The invention provides a nutrient dietary analysis method which comprises the steps of acquiring medical advice information of a patient and patient checking information, and building a preliminary patient nutrition condition recognition model according to the patient checking information; acquiring patient body quantity information and acquiring patient correction indexes according to the patient body quantity information; building a patient nutrition condition reflecting function group U according to the patient nutrition condition recognition model, the correction indexes and the medical advice information; building a patient-needed nutrition index function group V according to the patient nutrition condition reflecting function group U; building a food index equation with nutrition index function group V as a model, and solving to obtain multi-object planning type fuzzy optimal solutions; and screening an optimal solution from the fuzzy optimal solutions, and pushing a nutrition food menu according to the optimal solution.

The invention relates to a crop nitrogen demand real-time acquisition method. For the problems of large workload and relatively poor timeliness due to the fact that crops need to be subjected to destructive sampling analysis in a traditional crop nitrogen demand calculation method, a model between a crop nitrogen demand and a crop nitrogen nutrition index is built, and the complex crop nitrogen demand calculation is converted into the crop nitrogen nutrition index acquisition, so that the timeliness of crop nitrogen nutrition diagnosis is greatly improved; the design model not only has relatively high precision but also considers the growth period difference of the crops and the utilization ratio difference of nitrogen fertilizers in different planting regions, thereby having relatively high universality; and the building of the model can provide guidance for precise nitrogen fertilizer management of the crops, and has important practical significance for nitrogen fertilizer reductionand agricultural sustainable development.

An embodiment of the invention provides an NNI (nitrogen nutrition index) estimation method and device. The method comprises the following steps: initial data, including canopy spectral reflectance, above-ground plant biomass and above-ground plant nitrogen concentration at each sampling point, of summer maize is obtained; the NNI of each sampling point is calculated according to the initial data; fitting coefficients for a normalized spectral index and the NNIs are calculated through a plurality of default fitting functions respectively, wherein the default fitting functions comprise a power function, a linear function, an exponential function and a logarithmic function, and the normalized spectral index is obtained by combining any two wave bands in a default spectral band range; a target spectral index and a target fitting function corresponding to the maximum fitting coefficient obtained through calculation are selected; an NNI estimation model is generated according to the target spectral index and the target fitting function. The NNIs of the summer maize can be estimated rapidly and precisely.

The invention discloses an evaluation and tracing method for the nutrition quality information of leafy vegetables. The evaluation and tracing method comprises the following steps: setting evaluation indexes for evaluating the quality of the vegetable to be measured; measuring measurement values of all the evaluating indexes; calculating subordinative function values of all the evaluating indexes; calculating an average subordinative function value of good-quality indexes and an average subordinative function value of bad-quality indexes; calculating the difference value between the average subordinative function value of the good-quality indexes and the average subordinative function value of the bad-quality indexes as reference values and the difference value between the average subordinative function value of the good-quality indexes and the average subordinative function value of the bad-quality indexes as measured values; carrying out quality evaluation on the quality of the vegetable to be measured; carrying out coding design based on a two-dimension code to the result of the quality evaluation. The evaluation and tracing method disclosed by the invention has the beneficial effects that comprehensive evaluation for the nutrition quality of the vegetables is carried out, and a nutrition index content and an evaluation result are also added into a tracing system as the nutrition quality information of a product, and then consumers can conveniently obtain the needed nutrition quality information of the vegetables by the two-dimension code.

An embodiment of the invention discloses a diet control method, a device, equipment and a storage medium, wherein the diet control method comprises the steps of obtaining a diet control target of a user and diet attribute data of the selected diet; according to a diet control object, determining a diet control standard which corresponds with the user; according to the diet attribute data, determining diet parameter information which corresponds with the selected diet; and based on the diet control standard and the diet parameter information, determining a standard-reaching determining result of the selected diet relative to the diet control object. According to the diet control method, different diet control standards are supplied to the user according to different body requirements of theuser; whether the selected diet reaches the standard is determined; a more visual and scientific nutrition index which can be understood by the user is output; understanding of main elements and functions in the food by the user can be facilitated; motion is combined with the diet content; better application of theoretical knowledge of the user is realized; and the food can be conveniently and effectively selected.

The invention discloses a health-care compound feed for enhancing the anti-stress capability of freshwater fishes. The health-care compound feed is prepared from the following raw materials in parts by weight: 0.1-0.3 part of microelement, 0.03-0.06 part of vitamin, 1-2parts of mineral substances, 5-10 parts of fish meal, 10-20 parts of bean pulp, 20-40 parts of miscellaneous meal, 20-40 parts of bran distilled grain dregs, 5-10 parts of flour, 3-5 parts of alfalfa meal, 4-8 parts of kelp powder and 1-2 parts of grease. The health-care compound feed is convenient to use and free of toxic and harmful effect, and contains 28% of crude protein. According to physiological characteristics of the freshwater fish, not only are nutrition indexes required by the fishes achieved through the raw materials such as high-quality fish meal, miscellaneous meal and bran distilled grain dregs, but also the anti-stress capability and the immunity of the freshwater fishes are improved and the growth of the freshwater fish is prompted as various anti-stress substances are added.

The invention provides a pig concentrated efficient breeding feeding mode suitable for northwest regions and a pig feeding system suitable for the northwest regions and relates to the technical field of feeding. The method includes that different concentrate products are fed at different stages: at a piglet stage, powdery feed and granular creep feed are combined, the powdery feed is high in palatability, and the piglets are quick in feed acquaintance, stress is small after weaning; the granular feed is high in intake, little in waste and high in subsequent growing speed; at a growing and fattening stage, according to pig growing characteristics, feeding is performed according to stages and varieties by studying pig nutrition needs. Low-protein daily ration is adopted, various amino acids are balanced, and concentrate nutrition index and preparation proportion are designed reasonably with reference to convenience in purchasing corn and bran raw materials in the northwest region, so that nutrition needs can be met better, waste of nutritional ingredients in the feed can be reduced, the nutritional ingredients of the feed are ensured to be fully digested and absorbed, environment pollution degree and feeding cost of farmers can be lowered, and economic benefit of pig farms can be increased.

The invention discloses feed for gene editing laboratory mice. The feed is prepared from components in parts by weight as follows: 30-35 parts of corn, 10-15 parts of wheat, 15-20 parts of soybean meal, 5-12 parts of broken rice, 3-10 parts of fish meal, 1-5 parts of oil, 2-9 parts of a yeast hydrolysate, 0.8-1.2parts of stone powder, 1-2 parts of calcium hydrogen phosphate, 0.5-1 part of compound minerals, 0.1-0.5 parts of decavitamin, 0.1-0.2 parts of methionine and 0.1-0.2 parts of lysine. The feed has balanced nutrition and good palatability and can increase the feed intake of the gene editing laboratory mice, promote growth and breeding and significantly increase the survival rate of the gene editing laboratory mice, the nutrition index of the feed meets the nutrition index of national standard GB14924.3-2010 of Complete Nutritional Feed for Laboratory Animals, the hygienic index meets the hygienic index requirements of national standard GB14924.1-2010 of Complete Nutritional Feed for Laboratory Animals, and the feed for the gene editing laboratory mice has bright application prospects.

The invention provides a dynamic remote-sensing forage and livestock monitoring and grazing early-warning method, and belongs to the fields of dynamic remote sensing meadow monitoring and grazing early warning. The method comprises that nutrition indexes including biomass, crude protein, neutral washing fibers, acidic washing fibers and stock-carrying capacity reflecting the nutrition value of meadows are calculated by means of multi-source remote-sensing sequential images; and the livestock grazing route, nutrition demand and stock-carrying capacity are calculated via a livestock grazing system and nutrition supplementary feed, the meadow nutrition supply and livestock nutrition demand are analyzed, the herbage nutrition change process of a rotation grazing district is monitored quantitatively, the dynamic nutrition balance is analyzed, and early warning is implemented. The method is suitable for high-score remote-sensing vegetation index data. Indexes of different links of remote-sensing dynamic meadow nutrition monitoring are researched quantitatively, so that forage and livestock nutrition balance and grazing monitoring early warning can be researched qualitatively, it is ensured that the meadow nutrition change and dynamic forage and livestock nutrition balance of a divided pasture can be reflected in higher precision, and more accurate information is provided for a nutrition balancing decision.

The invention discloses a crop nitrogen fertilizer variable management method based on an unmanned aerial vehicle image. The method comprises the following steps: designing a community; acquiring the unmanned aerial vehicle image; constructing a texture index for diagnosing the nitrogen nutrition index; inversing the crop nitrogen nutrition index coupled with the texture index and the spectral index; and constructing a topdressing amount calculation model. The defect that only spectral information is utilized in traditional crop nitrogen nutrition index inversion is overcome, the nitrogen nutrition index can be diagnosed based on unmanned aerial vehicle image texture features, a technical method for crop nitrogen nutrition index inversion through coupling of image spectra and texture features is provided, the crop nitrogen nutrition level judgment precision is improved. And meanwhile, a high-precision crop variable rate fertilization method is designed by coupling a crop fertilizer requirement rule and a nitrogen nutrition index.

The invention discloses a summer corn yield estimation method based on simulated multispectrum. The method comprises the following steps: S1, measuring chlorophyll, leaf area index, biomass, total nitrogen content and nitrogen nutrition index of summer corn plants in a field test area; S2, constructing a leaf area index estimation model considering a growth stage; S3, constructing a coupled summer corn plant nitrogen nutrition index estimation model; S4, constructing a relative yield estimation model based on the nitrogen nutrition indexes in the different growth stages; S5, collecting ground actual measurement spectral data of the field test area to obtain summer corn plant canopy simulation multispectral reflectivity; S6, constructing a coupled chlorophyll estimation model; S7, constructing a summer corn plant nitrogen nutrition index estimation model based on simulated multispectral data; and S8, constructing a summer corn yield estimation model based on simulated multispectrums, and performing calculation. According to the method, a summer corn yield prediction model is constructed, the physical significance is clear, and the result is interpretable.

The invention belongs to the technical field of nutrition diagnosis, and discloses a beet nitrogen nutrition detection method and system based on unmanned aerial vehicle multispectral data, and the method comprises the steps: carrying out the inversion to obtain ten vegetation indexes and three major classes 19 vegetation indexes; analyzing a nitrogen nutrition change rule of different varieties of beets under different nitrogen application amounts; evaluating correlation and correlation coefficients between the unmanned aerial vehicle multispectral index of the beet test plot and the nitrogen content of the leaf clump, the nitrogen content of the root, the nitrogen content of the whole plant, the nitrogen accumulation amount of the leaf clump, the nitrogen accumulation amount of the root and the nitrogen accumulation amount of the whole plant of the beet; screening the vegetation index with the highest correlation with the beet nitrogen nutrition index in the three types of vegetation indexes for modeling; finding out a beet growth monitoring index with the highest precision; and formulating a beet nitrogen nutrition diagnosis standard based on the optimal spectral vegetation index, and establishing an evaluation system. Experiments show that the unmanned aerial vehicle can diagnose the leaf cluster nitrogen accumulation amount NWL, the root nitrogen accumulation amount NWT and the whole plant nitrogen accumulation amount NWP in unit area, and diagnosis results have statistical significance.

The invention discloses a rabbit feed cost performance evaluation method and belongs to the technical field of animal feed preparation and development. The method includes the steps that rabbit nutrition standards are listed, weights of different nutrition indexes are made, a nutrition value evaluation formula is listed, major nutrition content and the market price of feed to be evaluated are listed, nutrition value indexes of raw materials are calculated according to the nutrition value evaluation formula, the ratio is obtained by dividing the nutrition value indexes of the feed by the price of the feed, and the higher the ratio is, the higher the cost performance of the feed to be evaluated is. By means of the rabbit feed cost performance evaluation method, nutrition value and price indexes of various kinds of rabbit feed can be evaluated, feed which is high in nutrition value and low in price can be prepared, and rabbit feeding cost is lowered.

The invention discloses a feed formula determination method and system and a computer readable storage medium. The feed comprises a plurality of raw materials. The feed formula determination method ofthe feed formula comprises the following steps: obtaining the price of the raw materials, the nutrient index limit amount of the feed, the nutrient content of the raw materials and the ratio type nutrient index limit amount of the feed; determining a formula initial model according to the obtained price of the raw materials, the obtained nutrient index limit quantity of the feed and the obtainednutrient content of the raw materials; determining a formula optimization model according to the formula initial model and the obtained ratio type nutrition index limit quantity of the feed; and determining a feed formula according to the formula optimization model. Thus, the formula optimization model is determined according to the formula initial model and the ratio type nutrition index limit quantity, and the feed formula is determined according to the formula optimization model, and conditions required to be met by the relationship among multiple nutrients in the feed are considered, so that the nutrition of the feed is more balanced, and healthy growth of animals is facilitated.

The invention relates to a prescription information pushing method and device based on parenteral nutrition and computer equipment. The method comprises the following steps: acquiring a parenteral nutrition prescription pushing task, wherein the parenteral nutrition prescription pushing task carries a patient identifier; acquiring patient information corresponding to the patient identifier, and determining a corresponding energy factor according to the patient information; calling an index matching model, wherein the index matching model is established by performing big data analysis based onhistorical patient information and historical prescription information; matching the patient information according to the index matching model to obtain reference quantities corresponding to a plurality of nutrition index items; determining a target amount corresponding to the nutrition index item based on the energy factor and the reference amount; and generating prescription information according to the target quantity, and pushing the prescription information to a corresponding terminal. By adopting the method, the time cost for determining the prescription information based on parenteral nutrition can be saved, and the workload of doctors is reduced.

The invention provides a prediction system for combined prediction of gastric cancer prognosis based on patient age, nutrition index, tumor stage and tumor marker. The prediction system is constructed by taking patient age, tumor TNM stage, AFP, CA153, CA724 and nutrition index as prediction indexes, and the invention belongs to the field of prediction models. The prediction system can be used for accurately predicting the prognosis condition of a gastric cancer patient (especially a patient subjected to gastric cancer resection surgery in an I-IV stage) and accurately predicting the survival rate of the patient. The prediction system for predicting gastric cancer prognosis provided by the invention is simple in construction method and high in prediction accuracy and distinction degree, has important significance in clinically assisting in judging the prognosis condition and survival rate of gastric cancer patients, and is beneficial to individual precise treatment of clinical patients.

The invention relates to the technical field of beef cattle breeding, in particular to a fattening method for producing snowflake beef cattle. Yunling calves which are 2-3 months old, weaned, good ingrowth and development and larger than or equal to 60 kg in weight are selected, the whole fattening process of the Yunling calves is divided into four stages including a growth period, an early fattening stage, a later fattening stage and a slaughter period according to a weight increasing rule and a protein and fat deposition rule, and weight gain indexes and daily ration nutrition indexes of all the stages are formulated. The feed formula and the feeding amount in different stages are adjusted by combining the requirements of the snowflake beef quality, the weight gain speed can be obviously increased, the production cost is reduced, the quality of the obtained beef is greatly improved, the net meat rate is high, the marbling distribution of the beef is uniform through evaluation, the muscle is cherry red, and the special-grade standard in the standard of NY / T676-2010 beef grade specification published by the Ministry of Agricultural Department is reached.

The invention discloses a lake division eutrophication nutrition footprint index evaluation method which mainly comprises the following steps: a phase space track line establishment step: utilizing lake division data to carry out filtering processing according to a time sequence, and establishing a filtering phase space track line of a consequence index and a reason index; A confinement nutrient identification step of identifying a confinement nutrient using the filtered phase-space trajectory; and a filtering track line segmentation step: carrying out time period division on the filtering phase space track line according to the inflection point of the track line, and establishing a multi-time period curve of an algae density and nutrient concentration response relation and a non-linear multi-time period nutrition index (TFI) relation. The method is mainly applied to lake eutrophication evaluation with algae control requirements and lakes with historical data of more than 10 years.

The invention discloses a food material recommendation method based on nutrition indexes. The food material recommendation method comprises the following steps: collecting nutrition intake information of a user in a preset time period; comparing the nutrition intake information with a published nutrition standard to obtain nutrition index information lacked by the user; According to preset food material nutrient content information, automatically recommending various nutritional food materials rich in nutritional index information to the user. According to the food material recommendation method based on the nutrition indexes provided by the invention, the nutrition intake information of the user is compared with the published nutrition standard to obtain the nutrition information lacked by the user, and then the recommendation of the to-be-supplemented food materials is automatically generated for the user according to the nutrition content information of the food materials, so that the query and search time of the user is saved, and the user experience is improved. The nutrition balance of the user is promoted, and the diet health is ensured.

The invention provides a sargasbag export product quality grade classification method for sargasbag cultivation. The method comprises the following steps: dividing the quality of air bag export products of cultured sargassum fusiforme into three quality grade standards of AAA grade, AA grade and A grade from high to low, wherein the common quality characteristics of the method comprise seven aspects of typical pesticide residue variety and limit, typical heavy metal variety and limit, color, airbag and stem heterozygosis mass ratio, airbag body morphological characteristics, rehydration rate and main nutrition indexes. The invention can provide a sargasbag export product quality identification and grade classification method for sargasbag cultivation for sargasbag export enterprises, and the method focuses on the scientific evaluation, food safety and quality difference characteristics of the sargasbag export products for sargasbag cultivation.

The present invention relates to raw materials of a functional feed for improving milk yield and milk quality and an application thereof. In particular, the present invention provides a soybean molasses product. The product comprises a feed carrier and soybean molasses adsorbed on the feed carrier. The present invention also provides corn substitute materials and a feed, the corn substitute materials contain the soybean molasses product, and the feed contains the soybean molasses product or the corn substitute materials. The corn substitute materials can substitute parts of the corns in dairy cow feeds, which reduces the corn ingredients in the feed, significantly increases the milk yield of dairy cows, and enables parts of nutrition indexes in the milk to be significantly increased.

The present invention relates to raw materials of a functional feed for improving milk yield and milk quality and an application thereof. In particular, the present invention provides a soybean molasses product. The product comprises a feed carrier and soybean molasses adsorbed on the feed carrier. The present invention also provides corn substitute materials and a feed, the corn substitute materials contain the soybean molasses product, and the feed contains the soybean molasses product or the corn substitute materials. The corn substitute materials can substitute parts of the corns in dairy cow feeds, which reduces the corn ingredients in the feed, significantly increases the milk yield of dairy cows, and enables parts of nutrition indexes in the milk to be significantly increased.